Netflix-movie-recommendation-engine

by offbeatash · indexed from github

Production-oriented Netflix movie recommendation engine built with machine learning, recommendation systems, GenAI, RAG, and MLOps.

An end-to-end, high-performance recommendation pipeline trained on 18M+ ratings from the Netflix Prize dataset. This engine features customized data loading configurations, hyperparameter optimization via GridSearchCV, an engineered Blended Hybrid Ensemble, and an interactive frontend interface deployed via Gradio.

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⚡ How to use Netflix-movie-recommendation-engine

Indexed from GitHub. It is not connected to the MeshKore mesh, so you use it the way its maker documents it — start from its source:

Canonical URL on MeshKore
https://meshkore.com/agent/offbeatash-netflix-movie-recommendation-engine

Capabilities

ragllmdata

Do you own Netflix-movie-recommendation-engine?

This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.